Computational Statistics & Data Analysis, Volume 94

Volume 94, February 2016

Section II: Statistical Methodology for Data Analysis

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  Minjo Kim, Sangyeol Lee:
  Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation. 1-19
• 
  Sugnet Gardner-Lubbe:
  A triplot for multiclass classification visualisation. 20-32
• 
  Jingke Zhou, Lixing Zhu:
  Principal minimax support vector machine for sufficient dimension reduction with contaminated data. 33-48

Section I: Computational Statistics

• 
  Qingguo Tang, Rohana J. Karunamuni:
  Fast and accurate computation for kernel estimators. 49-62
• 
  Takanori Hasegawa, Atsushi Niida, Tomoya Mori, Teppei Shimamura, Rui Yamaguchi, Satoru Miyano, Tatsuya Akutsu, Seiya Imoto:
  A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models. 63-74

Section II: Statistical Methodology for Data Analysis

• 
  Ryan Martin, Zhen Han:
  A semiparametric scale-mixture regression model and predictive recursion maximum likelihood. 75-85
• 
  F. C. Ng, Wai Keung Li, Philip L. H. Yu:
  Diagnostic checking of the vector multiplicative error model. 86-97
• 
  Depeng Jiang, Pu-Ying Zhao, Nian-Sheng Tang:
  A propensity score adjustment method for regression models with nonignorable missing covariates. 98-119
• 
  Spencer Wheatley, Vladimir Filimonov, Didier Sornette:
  The Hawkes process with renewal immigration & its estimation with an EM algorithm. 120-135
• 
  S. F. Bagheri, Ehsan Bahrami Samani, Mojtaba Ganjali:
  The generalized modified Weibull power series distribution: Theory and applications. 136-160
• 
  Christophe Chesneau, Isha Dewan, Hassan Doosti:
  Nonparametric estimation of a quantile density function by wavelet methods. 161-174
• 
  Frédéric Lavancier, P. Rochet:
  A general procedure to combine estimators. 175-192

Section I: Computational Statistics

• 
  Maria Francesca Marino, Marco Alfò:
  Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study. 193-209

Section II: Statistical Methodology for Data Analysis

• 
  Ionut Bebu, George Luta, Thomas Mathew, Paul A. Kennedy, Brian K. Agan:
  Parametric cost-effectiveness inference with skewed data. 210-220

Section I: Computational Statistics

• 
  Junyang Qian, Jinzhu Jia:
  On stepwise pattern recovery of the fused Lasso. 221-237

Section II: Statistical Methodology for Data Analysis

• 
  Xin Zhang, Daniel R. Jeske, Jun Li, Vance Wong:
  A sequential logistic regression classifier based on mixed effects with applications to longitudinal data. 238-249

Section I: Computational Statistics

• 
  Joshua Svenson, Thomas J. Santner:
  Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models. 250-264

Section II: Statistical Methodology for Data Analysis

• 
  Kohei Uno, Hironori Satomura, Kohei Adachi:
  Fixed factor analysis with clustered factor score constraint. 265-274

Section I: Computational Statistics

• 
  Sangin Lee, Sunghoon Kwon, Yongdai Kim:
  A modified local quadratic approximation algorithm for penalized optimization problems. 275-286

Section II: Statistical Methodology for Data Analysis

• 
  Lu Lin, Jing Sun:
  Adaptive conditional feature screening. 287-301
• 
  Yangguang Zang, Sanguo Zhang, Qizhai Li, Qingzhao Zhang:
  Jackknife empirical likelihood test for high-dimensional regression coefficients. 302-316
• 
  Joseph Usset, Ana-Maria Staicu, Arnab Maity:
  Interaction models for functional regression. 317-329
• 
  Karel Hron, Alessandra Menafoglio, Matthias Templ, Klara Hruzová, Peter Filzmoser:
  Simplicial principal component analysis for density functions in Bayes spaces. 330-350
• 
  Robert G. Aykroyd, Stuart Barber, Luke R. Miller:
  Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring. 351-362
• 
  Keunbaik Lee, Insuk Sohn, Donguk Kim:
  Analysis of long series of longitudinal ordinal data using marginalized models. 363-371
• 
  Roberto Benavent, Domingo Morales:
  Multivariate Fay-Herriot models for small area estimation. 372-390